%global _empty_manifest_terminate_build 0 Name: python-dvc-cc Version: 0.10.30 Release: 1 Summary: This connector is used to combine the work of CC (www.curious-containers.cc) and DVC (Open-source Version Control System for Machine Learning Projects). License: AGPL-3.0 URL: https://github.com/mastaer/dvc-cc.git Source0: https://mirrors.nju.edu.cn/pypi/web/packages/02/b8/aaab78e0633411315cdf74a208a1d39557a54a351fd9e71946ffaf240a1d/dvc-cc-0.10.30.tar.gz BuildArch: noarch Requires: python3-keyring Requires: python3-dvc Requires: python3-paramiko Requires: python3-numpy Requires: python3-cc-faice Requires: python3-gitlab Requires: python3-pyyaml Requires: python3-nbconvert Requires: python3-pandas Requires: python3-matplotlib Requires: python3-seaborn Requires: python3-pyrsistent Requires: python3-pexpect %description ![The DVC-CC-Logo](../dvc_cc_logo.png) DVC-CC is a wrapper for using the tool [**D**ata **V**ersion **C**ontrol (DVC)](www.dvc.org) to make it possible to use DVC to run your script in a cloud. To make this idea possible, we wrote a script that is part of a docker image that can: 1. download a git repository, 2. download all required files with your DVC storage server, 3. execute your script, and 4. push the results to GIT and to your DVC storage server. To assign the right hardware for your need in the cloud, we use [**C**urious **C**ontainers (CC)](https://www.curious-containers.cc/). This Software runs on our cloud and manages the cloud. ![DVC-CC-Overview](https://github.com/deep-projects/dvc-cc/raw/master/dvc-cc/tutorial/DVC-CC-Overview.png) ## Installation of DVC-CC DVC-CC is written in python so you can easily install DVC-CC by using pip. We recommend that you install DVC-CC in a conda environment. You can use [anaconda](https://www.anaconda.com/distribution/) or miniconda. For windows user We recommend [this website](https://www.earthdatascience.org/workshops/setup-earth-analytics-python/setup-git-bash-conda/) to install miniconda. Currently DVC-CC does not work under Windows! You can create, and activate an environment with the following lines: ```bash conda create --name dvc_cc python pip conda activate dvc_cc ``` If `conda activate dvc_cc` does not work, try `source activate dvc_cc`. ### Installation with pip The following script will install the client on your computer: ```bash pip install --upgrade dvc-cc ``` If you have problems on windows with "win32file", you need to install pywin32 with `conda install -c anaconda pywin32`. ### Installation from source If you want to install the latest version from source you can install it with [poetry](https://poetry.eustace.io/). ```bash git clone https://github.com/deep-projects/dvc-cc.git cd dvc-cc/dvc-cc poetry build pip install dvc_cc-?????.whl # replace ????? with the current version that you build in the previous step. ``` ## Get started Install DVC-CC and take a look at [this tutorial](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/Get_Started.md). ### Tutorials - [Working with jupyter notebooks](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/_working_with_jupyter_notebook.md) - [working with sshfs](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/_working_with_sshfs.md) - [DVC-CC Settings](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/_settings.md) - [Working with pure DVC syntax](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/_only_dvc.md) - [Using live output](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/_live_output.md) - [An old tutorial](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/SimpleStart.md) ## Structure of this repository ## Acknowledgements The DVC-CC software is developed at CBMI (HTW Berlin - University of Applied Sciences). The work is supported by the German Federal Ministry of Education and Research (project deep.TEACHING, grant number 01IS17056 and project deep.HEALTH, grant number 13FH770IX6). %package -n python3-dvc-cc Summary: This connector is used to combine the work of CC (www.curious-containers.cc) and DVC (Open-source Version Control System for Machine Learning Projects). Provides: python-dvc-cc BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-dvc-cc ![The DVC-CC-Logo](../dvc_cc_logo.png) DVC-CC is a wrapper for using the tool [**D**ata **V**ersion **C**ontrol (DVC)](www.dvc.org) to make it possible to use DVC to run your script in a cloud. To make this idea possible, we wrote a script that is part of a docker image that can: 1. download a git repository, 2. download all required files with your DVC storage server, 3. execute your script, and 4. push the results to GIT and to your DVC storage server. To assign the right hardware for your need in the cloud, we use [**C**urious **C**ontainers (CC)](https://www.curious-containers.cc/). This Software runs on our cloud and manages the cloud. ![DVC-CC-Overview](https://github.com/deep-projects/dvc-cc/raw/master/dvc-cc/tutorial/DVC-CC-Overview.png) ## Installation of DVC-CC DVC-CC is written in python so you can easily install DVC-CC by using pip. We recommend that you install DVC-CC in a conda environment. You can use [anaconda](https://www.anaconda.com/distribution/) or miniconda. For windows user We recommend [this website](https://www.earthdatascience.org/workshops/setup-earth-analytics-python/setup-git-bash-conda/) to install miniconda. Currently DVC-CC does not work under Windows! You can create, and activate an environment with the following lines: ```bash conda create --name dvc_cc python pip conda activate dvc_cc ``` If `conda activate dvc_cc` does not work, try `source activate dvc_cc`. ### Installation with pip The following script will install the client on your computer: ```bash pip install --upgrade dvc-cc ``` If you have problems on windows with "win32file", you need to install pywin32 with `conda install -c anaconda pywin32`. ### Installation from source If you want to install the latest version from source you can install it with [poetry](https://poetry.eustace.io/). ```bash git clone https://github.com/deep-projects/dvc-cc.git cd dvc-cc/dvc-cc poetry build pip install dvc_cc-?????.whl # replace ????? with the current version that you build in the previous step. ``` ## Get started Install DVC-CC and take a look at [this tutorial](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/Get_Started.md). ### Tutorials - [Working with jupyter notebooks](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/_working_with_jupyter_notebook.md) - [working with sshfs](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/_working_with_sshfs.md) - [DVC-CC Settings](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/_settings.md) - [Working with pure DVC syntax](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/_only_dvc.md) - [Using live output](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/_live_output.md) - [An old tutorial](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/SimpleStart.md) ## Structure of this repository ## Acknowledgements The DVC-CC software is developed at CBMI (HTW Berlin - University of Applied Sciences). The work is supported by the German Federal Ministry of Education and Research (project deep.TEACHING, grant number 01IS17056 and project deep.HEALTH, grant number 13FH770IX6). %package help Summary: Development documents and examples for dvc-cc Provides: python3-dvc-cc-doc %description help ![The DVC-CC-Logo](../dvc_cc_logo.png) DVC-CC is a wrapper for using the tool [**D**ata **V**ersion **C**ontrol (DVC)](www.dvc.org) to make it possible to use DVC to run your script in a cloud. To make this idea possible, we wrote a script that is part of a docker image that can: 1. download a git repository, 2. download all required files with your DVC storage server, 3. execute your script, and 4. push the results to GIT and to your DVC storage server. To assign the right hardware for your need in the cloud, we use [**C**urious **C**ontainers (CC)](https://www.curious-containers.cc/). This Software runs on our cloud and manages the cloud. ![DVC-CC-Overview](https://github.com/deep-projects/dvc-cc/raw/master/dvc-cc/tutorial/DVC-CC-Overview.png) ## Installation of DVC-CC DVC-CC is written in python so you can easily install DVC-CC by using pip. We recommend that you install DVC-CC in a conda environment. You can use [anaconda](https://www.anaconda.com/distribution/) or miniconda. For windows user We recommend [this website](https://www.earthdatascience.org/workshops/setup-earth-analytics-python/setup-git-bash-conda/) to install miniconda. Currently DVC-CC does not work under Windows! You can create, and activate an environment with the following lines: ```bash conda create --name dvc_cc python pip conda activate dvc_cc ``` If `conda activate dvc_cc` does not work, try `source activate dvc_cc`. ### Installation with pip The following script will install the client on your computer: ```bash pip install --upgrade dvc-cc ``` If you have problems on windows with "win32file", you need to install pywin32 with `conda install -c anaconda pywin32`. ### Installation from source If you want to install the latest version from source you can install it with [poetry](https://poetry.eustace.io/). ```bash git clone https://github.com/deep-projects/dvc-cc.git cd dvc-cc/dvc-cc poetry build pip install dvc_cc-?????.whl # replace ????? with the current version that you build in the previous step. ``` ## Get started Install DVC-CC and take a look at [this tutorial](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/Get_Started.md). ### Tutorials - [Working with jupyter notebooks](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/_working_with_jupyter_notebook.md) - [working with sshfs](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/_working_with_sshfs.md) - [DVC-CC Settings](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/_settings.md) - [Working with pure DVC syntax](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/_only_dvc.md) - [Using live output](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/_live_output.md) - [An old tutorial](https://github.com/deep-projects/dvc-cc/blob/master/dvc-cc/tutorial/SimpleStart.md) ## Structure of this repository ## Acknowledgements The DVC-CC software is developed at CBMI (HTW Berlin - University of Applied Sciences). The work is supported by the German Federal Ministry of Education and Research (project deep.TEACHING, grant number 01IS17056 and project deep.HEALTH, grant number 13FH770IX6). %prep %autosetup -n dvc-cc-0.10.30 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-dvc-cc -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed May 10 2023 Python_Bot - 0.10.30-1 - Package Spec generated